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Module 7: Marketing (Semester 2)                     Module 8: Business Statistics
                                                         (Semester 2)
This module aims to provide students with an
introduction to a range of theories and concepts       This module aims to:
underpinning key elements of marketing planning
with a focus on the application of those theories and  • Develop statistical literacy in students,
concepts to a range of different organisations.
                                                       including the ability to think statistically and make
1. An Introduction to Marketing                        numbers meaningful, focussing on conceptual
2. An Overview of Marketing Planning                   understanding and recognising the demands for
3. The Marketing Environment                           dealing with “big data” in an information age.
4. Consumer Behaviour
5. Marketing Research                                  • Provide students with a sound grasp of the
6. The Marketing Mix – Product
7. The Marketing Mix – Price                           fundamental concepts needed to use and
8. The Marketing Mix – Place                           interpret statistical tools and procedures which are
9. The Marketing Mix – Promotions                      used to analyse business data and hence aid
10. Digital Marketing and Social Media                 informed decision-making, while recognising that
11. Services Marketing                                 detailed knowledge of specific techniques and
12. New Product Development                            calculations may not be as important as the
13. Corporate Social Responsibility and Marketing      knowledge that comes from going through the
                                                       process of learning them.
     Ethics
                                                       • Prepare students for entry to more advanced

                                                       modules dealing with quantitative analysis in
                                                       business.

                                                       1. Data and Variability in Business (or “Why study
                                                            this?”)

                                                       2. Summarising Data: Measures of Location and
                                                            Dispersion

                                                       3. Summarising Data: Graphical Presentation and
                                                           Frequency Distributions

                                                       4. Index Numbers
                                                       5. Correlation Techniques
                                                       6. Regression Techniques
                                                       7. Time Series Analysis
                                                       8. Set Theory and Enumeration
                                                       9. Probability
                                                       10. Probability Distributions
                                                       11. Introduction to Statistical Inference
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